Undergraduate Institution and Major:

Graduate Advisor:

Description of Graduate Research:

Emerging technology for large-scale recording is opening up a new era in neuroscience by widening the scope of analysis. Accordingly, the right level of experimental complexity is questioned (Gao and Ganguli, 2015). One potential direction to resolve these concerns is to develop a naturalistic and interactive experiment to increase task complexity and a corresponding computational model to guide neural analysis (Yoo et al., biorxiv; Iqbal et al., 2018). My interest in the Hayden laboratory is to design a novel naturalistic experiment and computational model, establishing a large-scale recording system and analyzing neural activity acquired from a large-scale array.

Post-Bac Research:

I worked in the William Rymer lab at Northwestern University. I examined the alteration of muscle synergies in chronic stroke patients. For my master thesis, I established a Bayesian inference model for phoneme perception in human in psychophysics experiments.

What Got You Interested in Research?

To explore how the brain operates requires interdisciplinary knowledge including psychology, neural networks, statistics, and math. I was attracted by the fact that I can explore those by studying just one system, which is the brain. Furthermore, I got deeply interested in systems neuroscience since recognizing the field has been continuously trying to focus more on finding canonical computation and universal rules amongst various system including animal flocks and social systems of the human.